Cross-correlation matrix Root-MUSIC algorithm for bistatic multiple-input multiple-output radar

作     者：QIN GuoDong BAO Dan LIU GaoGao LI Peng 

作者机构：The Ministry Key Laboratory of Electronic Information Countermeasure and Simulation Xidian University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2015年第58卷第2期

页      面：58-67页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by Natural Science Foundation of Shanxi Province of China(Grant No.2013JM8003) Fundamental Research Funds for the Central Universities(Grant No.K5051202024) 

主　　题：bistatic MIMO radar DOD DOA cross-correlation Matrix angle estimation 

摘      要：A novel Root-MUSIC algorithm based on cross-correlation matrix is proposed to estimate the direction of arrival(DOA) and direction of departure(DOD) for the bistatic multiple-input multiple-output(MIMO)radar. In the algorithm, the cross-correlation matrix is first constructed by using the received data which are arranged according to the transmit array and the receive array, respectively. And the DOAs and DODs are estimated independently employing cross-correlation Root-MUSIC algorithms without eigendecomposition,where the null spaces are constructed with a linear operation of the cross-correlation matrices. Secondly the pair-matching of DOAs and DODs is accomplished by solving an angle estimate optimization. The effectiveness of the proposed method is verified through numerical simulations, and it is shown that the proposed method can provide more accurate angle estimation with small computational complexity than conventional eigendecomposition algorithms.